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Real-world applications of Bayesian networks

Authors:

David Heckerman,

Abe Mamdani,

Michael P. WellmanAuthors Info & Claims

Communications of the ACM, Volume 38, Issue 3

Pages 24 - 26

https://doi.org/10.1145/203330.203334

Published: 01 March 1995 Publication History

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Cited By

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Sezer SAkyuz E(2024)A conceptual risk modelling for cargo tank fire/explosion in chemical tanker by using Evidential Reasoning -SLIM and Bayesian belief network approachReliability Engineering & System Safety10.1016/j.ress.2024.110455(110455)Online publication date: Aug-2024
https://doi.org/10.1016/j.ress.2024.110455
Lee MBae SShin JBaek J(2024)Fuzzy Bayesian network analysis for quantifying risk reduction rate of hierarchy of controlsJournal of Loss Prevention in the Process Industries10.1016/j.jlp.2024.10535090(105350)Online publication date: Aug-2024
https://doi.org/10.1016/j.jlp.2024.105350
Chan LChu ASo M(2023)A moving-window bayesian network model for assessing systemic risk in financial marketsPLOS ONE10.1371/journal.pone.027988818:1(e0279888)Online publication date: 20-Jan-2023
https://doi.org/10.1371/journal.pone.0279888
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Index Terms

Real-world applications of Bayesian networks
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
  2. Machine learning
    1. Machine learning approaches
      1. Rule learning
2. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic algorithms
    2. Probabilistic reasoning algorithms
      1. Markov-chain Monte Carlo methods
      2. Sequential Monte Carlo methods

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Published In

Communications of the ACM Volume 38, Issue 3

March 1995

96 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/203330

Editor:
Jacques Cohen
Brandeis Univ., Waltham, MA

Issue’s Table of Contents

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Publication History

Published: 01 March 1995

Published in CACM Volume 38, Issue 3

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Sezer SAkyuz E(2024)A conceptual risk modelling for cargo tank fire/explosion in chemical tanker by using Evidential Reasoning -SLIM and Bayesian belief network approachReliability Engineering & System Safety10.1016/j.ress.2024.110455(110455)Online publication date: Aug-2024
https://doi.org/10.1016/j.ress.2024.110455
Lee MBae SShin JBaek J(2024)Fuzzy Bayesian network analysis for quantifying risk reduction rate of hierarchy of controlsJournal of Loss Prevention in the Process Industries10.1016/j.jlp.2024.10535090(105350)Online publication date: Aug-2024
https://doi.org/10.1016/j.jlp.2024.105350
Chan LChu ASo M(2023)A moving-window bayesian network model for assessing systemic risk in financial marketsPLOS ONE10.1371/journal.pone.027988818:1(e0279888)Online publication date: 20-Jan-2023
https://doi.org/10.1371/journal.pone.0279888
Erdem OSoylu TCarus A(2023)Pipelined Decision Trees for Online Traffic Classification on FPGAsThe Computer Journal10.1093/comjnl/bxad022Online publication date: 13-Mar-2023
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Cai WHuang YZhang XWang SPan YYin JShi KZhao W(2023)Spintronics intelligent devicesScience China Physics, Mechanics & Astronomy10.1007/s11433-022-2012-266:11Online publication date: 18-Apr-2023
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Crawford BRamezankhani MMilani A(2023)Bayesian diagnostic learning for a costly composite manufacturing: critical role of dataset size and auxiliary in situ measurementsThe International Journal of Advanced Manufacturing Technology10.1007/s00170-023-11705-6127:7-8(3729-3745)Online publication date: 19-Jun-2023
https://doi.org/10.1007/s00170-023-11705-6
Bai LKang SZhang KZhang BPan T(2022)Modeling for external stakeholder risk assessment of project portfoliosEngineering, Construction and Architectural Management10.1108/ECAM-01-2022-001031:2(737-766)Online publication date: 3-Oct-2022
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Li SYou MLi DLiu J(2022)Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniquesProcess Safety and Environmental Protection10.1016/j.psep.2022.04.054162(1067-1081)Online publication date: Jun-2022
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Abeygunawardane DKronenburg García ASun ZMüller DSitoe AMeyfroidt P(2022)Resource frontiers and agglomeration economies: The varied logics of transnational land-based investing in Southern and Eastern AfricaAmbio10.1007/s13280-021-01682-z51:6(1535-1551)Online publication date: 15-Jan-2022
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Yang JFan GShen AWang A(2021)Causal structure learning of nonlinear additive noise model based on streaming feature2021 International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW53433.2021.00066(490-499)Online publication date: Dec-2021
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Bayesian learning of Bayesian networks with informative priors

A connectivity management system for vehicular telemedicine applications in heterogeneous networks

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